baseline capability, and I wonder which is closer to true / more important. or if it's something else.
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I think the syllabus for http://alex.smola.org/teaching/berkeley2012/ … is more or less right
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in 2017 there would be smth in there about neural nets & recommendation would be factorization machines
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interesting. this was my first ML course, will read up on factorization machines http://www.stat.washington.edu/courses/stat535/fall14/ …
End of conversation
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